GitHub - sayakpaul/tf.keras-Distributed-Training: Shows how to use MirroredStrategy to distribute training workloads when using the regular fit and compile paradigm in tf.keras.
GitHub - yeamusic21/DistilBert-TF2-Keras-Multi-GPU-Sagemaker-Training: DistilBert TensorFlow 2.1.0 Keras Multi GPU Sagemaker Training Job
![Towards Efficient Multi-GPU Training in Keras with TensorFlow | by Bohumír Zámečník | Rossum | Medium Towards Efficient Multi-GPU Training in Keras with TensorFlow | by Bohumír Zámečník | Rossum | Medium](https://miro.medium.com/max/1200/1*1mFCYayQ1DMp0HZvg3ULHw.png)
Towards Efficient Multi-GPU Training in Keras with TensorFlow | by Bohumír Zámečník | Rossum | Medium
![Keras multi-gpu training model weights file can not issue a single cpu or gpu machines used - Code World Keras multi-gpu training model weights file can not issue a single cpu or gpu machines used - Code World](https://img-blog.csdnimg.cn/20190612104700867.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl8zODc0MDQ2Mw==,size_16,color_FFFFFF,t_70)
Keras multi-gpu training model weights file can not issue a single cpu or gpu machines used - Code World
![Training Keras model with Multiple GPUs with an example on image augmentation. | by Jafar Ali Habshee | Medium Training Keras model with Multiple GPUs with an example on image augmentation. | by Jafar Ali Habshee | Medium](https://miro.medium.com/max/683/1*qVMjT871cqbgTSV3xf6gXQ.jpeg)